![REFERENCES
[1] G Azam and M T Islam “Design and Fabrication of a Voice Controlled Wheelchair for Physically Disabled
People” International Conference on Physics Sustainable Development & Technology August 19-20, 2015
[2] Aruna, DhivyaParameswari, Malini and Gopu “Voice Recognition And Touch Screen Control Based
Wheelchair For Paraplegic Persons” International Conference on Green Computing Communication and
Electrical Engineering,2014
[3] Varun M J, Chetan V S, Basavaraj I D, Vikas C K and Nagaraj S Vannal “Home Automation for Physically
Disabled People” ITSI Transactions on Electrical and Electronics Engineering, Volume -1, Issue -1, 2013
[4] Khusvinder Gill, Shuang-Hua Yang, Fang Yao and Xin Lu “A ZigBee Based Home Automation System”
IEEE Transaction on Consumer Electronics, Vol.55 No.2,May 2009
[5] R.Piyare, M Tazil “Bluetooth Based Home Automation Using Cell Phone” IEEE 15th International
Symposium on Consumer Electronics,2011
[6] Mahesh N Jivani “GSM Based Home Automation Using AppInventor for Android Mobile Phone”, Vol.3
Issue 9, September 2014](https://image.slidesharecdn.com/ketconwheelchair-190601072217/85/Androd-technology-based-speech-processing-self-assistive-device-and-IoT-enabled-home-automation-8-320.jpg)
Androd technology based speech processing self assistive device and IoT enabled home automation
- 1. PRESENTED BY, NISHMI SURESH PG SCHOLAR SBCE, ALAPPUZHA Android Technology Based Speech Processing Self-Assistive Device and IoT Enabled Home Automation
- 2. CONTENTS • INTRODUCTION • SPEECH PROCESSING PART • CONTROLLER PART • CONCLUSION • REFERENCES
- 3. INTRODUCTION Physical disabilities causes the depression, loss of confidence and demotivation Increases the dependency on family members Mobility-assistive device like wheelchairs are very useful for disabled people Traditional wheelchairs have some limitations Incorporate intelligence to traditional wheelchair Proposing system use the idea of voice activated wheelchair and home automation
- 4. SPEECH PROCESSING PART Android part extract the commands from the input voice Voice input first captured by the android app Input voice is converted into corresponding text Compare with previously trained words to generate control characters Control the movement of wheelchair and the accessibility to each home appliance Transmitted to the controller part through HC-05 bluetooth module
- 5. DIRECTIONS LEFT MOTOR RIGHT MOTOR LEFT Anti-Clockwise Clockwise RIGHT Clockwise Anti-Clockwise FORWARD Clockwise Clockwise BACKWARD Anti-Clockwise Anti-Clockwise STOP No Motion No Motion FLOW DIAGRAM KETCON 2019 CONFERENCE,GEC, THRISSUR
- 6. CONTROLLER PART KETCON 2019 CONFERENCE,GEC, THRISSUR
- 7. CONCLUSION • Raspberry pi based voice controlled wheelchair and home automation using IoT • Alternative solution for the traditional wheelchair • Increases the quality of life of paralyzed patients • Voice command given to the android app • Controls the movement of wheelchair, on-off status of home appliances
- 8. REFERENCES [1] G Azam and M T Islam “Design and Fabrication of a Voice Controlled Wheelchair for Physically Disabled People” International Conference on Physics Sustainable Development & Technology August 19-20, 2015 [2] Aruna, DhivyaParameswari, Malini and Gopu “Voice Recognition And Touch Screen Control Based Wheelchair For Paraplegic Persons” International Conference on Green Computing Communication and Electrical Engineering,2014 [3] Varun M J, Chetan V S, Basavaraj I D, Vikas C K and Nagaraj S Vannal “Home Automation for Physically Disabled People” ITSI Transactions on Electrical and Electronics Engineering, Volume -1, Issue -1, 2013 [4] Khusvinder Gill, Shuang-Hua Yang, Fang Yao and Xin Lu “A ZigBee Based Home Automation System” IEEE Transaction on Consumer Electronics, Vol.55 No.2,May 2009 [5] R.Piyare, M Tazil “Bluetooth Based Home Automation Using Cell Phone” IEEE 15th International Symposium on Consumer Electronics,2011 [6] Mahesh N Jivani “GSM Based Home Automation Using AppInventor for Android Mobile Phone”, Vol.3 Issue 9, September 2014